Intelligent Beamforming Adaptation to Environmental Obstacles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current base stations for communications, such as 5G, require manual adjustments by engineers to account for ambient obstacles, which is inconvenient and inefficient, as they do not automatically adapt to changes in the environment.
Innovation Solution
An intelligent beamforming method and apparatus that acquires information about the beamforming environment, uses a pre-trained model to determine optimal configuration settings, and adjusts antenna angles to provide customized beamforming, taking into account obstacles and environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustments are made by engineers to account for ambient obstacles, then beamforming configuration can be customized for the environment, but the operation becomes inconvenient and inefficient
Solution Approach 1:
The base station automatically performs beamforming configuration by acquiring environment information, training the model, and adjusting antenna angles without requiring manual engineer intervention. The system serves itself by autonomously adapting to ambient obstacles and environmental changes.
Solution Approach 2:
The system trains the beamforming configuration model in advance using acquired environment information, so that when actual beamforming is needed, the pre-trained model can quickly provide optimal configuration without requiring manual setup for each scenario.
2Adaptability or versatility
If fixed base station positions are used, then installation is simplified, but the system cannot adapt to changes in the environment such as new buildings or obstacles
Solution Approach 1:
The base station system transitions from a static configuration to a dynamic one by continuously acquiring environment information and using a rotating module to adjust antenna angles in real-time, allowing adaptation to environmental changes while maintaining the same physical installation position.
Solution Approach 2:
The system changes the beamforming configuration parameters (antenna angles, beam directions) based on acquired environment information and model predictions, enabling adaptation to new obstacles and environmental changes without moving the base station physically.
3Productivity
If conventional beamforming configuration is used without environmental awareness, then the system is simpler to operate, but it requires repeated adjustments and cannot respond to ambient obstacles
Solution Approach 1:
The system acquires feedback information about the environment (obstacles, signal conditions) and uses this feedback to automatically adjust beamforming configuration through the trained model, eliminating the need for repeated manual adjustments and reducing the time required for configuration.
Data Source
AI summary
An intelligent beamforming method and apparatus are disclosed. The intelligent beamforming apparatus may acquire information about a beamforming environment around a plurality of antennas, feed beamforming configuration information into a pre-trained beamforming configuration model, acquire optimal beamforming configuration information for the plurality of antennas as outputs from the beamforming configuration model, and configure beamforming for the plurality of antennas based on the optimal beamforming configuration information. Therefore, when there is a deviation in direction from the linearity of beams in an actual-use environment, it is possible to identify information about the surrounding environment and provide beamforming customized for the environment. One or more between an intelligent beamforming apparatus and method and an intelligent computing device according to the present disclosure may be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), an augmented reality (AR) device, a virtual reality (VR) device, a 5G service-related device, etc.